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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import torch
st.set_page_config(page_title="FitPlan AI", layout="centered")
# LOAD MODEL (FIXED FOR FLAN-T5)
@st.cache_resource
def load_model():
tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base")
model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base")
return tokenizer, model
tokenizer, model = load_model()
# ---------------------------------------------------
# TITLE
# ---------------------------------------------------
st.title("πͺ FitPlan AI β User Fitness Profile")
# ---------------------------------------------------
# PERSONAL INFORMATION
# ---------------------------------------------------
st.subheader("π€ Personal Information")
name = st.text_input("Enter Your Name")
gender = st.radio(
"Gender",
["Male", "Female"],
horizontal=True
)
# ---------------------------------------------------
# HEIGHT & WEIGHT
# ---------------------------------------------------
col1, col2 = st.columns(2)
with col1:
height = st.number_input(
"Height (in cm)",
min_value=0.0,
max_value=250.0,
value=0.0,
step=0.1
)
with col2:
weight = st.number_input(
"Weight (in kg)",
min_value=0.0,
max_value=200.0,
value=0.0,
step=0.1
)
# ---------------------------------------------------
# BMI FUNCTION
# ---------------------------------------------------
def bmi_category(bmi):
if bmi < 18.5:
return "Underweight"
elif bmi < 25:
return "Normal weight"
elif bmi < 30:
return "Overweight"
else:
return "Obese"
# ---------------------------------------------------
# BMI CALCULATION
# ---------------------------------------------------
bmi = None
if height > 0 and weight > 0:
height_m = height / 100
bmi = weight / (height_m ** 2)
st.metric("π Your BMI", f"{bmi:.2f}")
st.info(f"BMI Category: {bmi_category(bmi)}")
# ---------------------------------------------------
# FITNESS GOAL
# ---------------------------------------------------
st.subheader("π― Fitness Goal")
goal = st.selectbox(
"Select Your Goal",
[
"Flexible",
"Weight Loss",
"Build Muscle",
"Strength Gaining",
"Abs Building"
]
)
# ---------------------------------------------------
# EQUIPMENT
# ---------------------------------------------------
st.subheader("ποΈ Available Equipment")
equipment_map = {}
col1, col2, col3 = st.columns(3)
with col1:
equipment_map["No Equipment"] = st.checkbox("No Equipment")
equipment_map["Pull-up Bar"] = st.checkbox("Pull-up Bar")
equipment_map["Dip Bars"] = st.checkbox("Dip Bars")
equipment_map["Push-up Handles"] = st.checkbox("Push-up Handles")
equipment_map["Dumbbells"] = st.checkbox("Dumbbells")
equipment_map["Adjustable Dumbbells"] = st.checkbox("Adjustable Dumbbells")
with col2:
equipment_map["Barbell"] = st.checkbox("Barbell")
equipment_map["Weight Plates"] = st.checkbox("Weight Plates")
equipment_map["Kettlebells"] = st.checkbox("Kettlebells")
equipment_map["Medicine Ball"] = st.checkbox("Medicine Ball")
equipment_map["Yoga Mat"] = st.checkbox("Yoga Mat")
equipment_map["Resistance Band"] = st.checkbox("Resistance Band")
with col3:
equipment_map["Bosu Ball"] = st.checkbox("Bosu Ball")
equipment_map["Stability Ball"] = st.checkbox("Stability Ball")
equipment_map["Foam Roller"] = st.checkbox("Foam Roller")
equipment_map["Treadmill"] = st.checkbox("Treadmill")
equipment_map["Exercise Bike"] = st.checkbox("Exercise Bike")
equipment_map["Skipping Rope"] = st.checkbox("Skipping Rope")
equipment = [item for item, selected in equipment_map.items() if selected]
# ---------------------------------------------------
# FITNESS LEVEL
# ---------------------------------------------------
st.subheader("π Fitness Level")
fitness_level = st.radio(
"Select Fitness Level",
["Beginner", "Intermediate", "Advanced"],
horizontal=True
)
# ---------------------------------------------------
# SUBMIT BUTTON
# ---------------------------------------------------
if st.button("π Submit Profile"):
if not name:
st.error("Please enter your name.")
elif height <= 0 or weight <= 0:
st.error("Please enter valid height and weight.")
elif not equipment:
st.error("Please select at least one equipment option.")
else:
st.success("β
Profile Submitted Successfully!")
bmi_status = bmi_category(bmi)
equipment_list = ", ".join(equipment)
# Improved Prompt
prompt = f"""
You are a certified professional fitness trainer.
Create a detailed 5-day workout plan.
User Information:
- Gender: {gender}
- BMI: {bmi:.2f} ({bmi_status})
- Goal: {goal}
- Fitness Level: {fitness_level}
- Equipment Available: {equipment_list}
Start directly with:
Day 1:
"""
with st.spinner("Generating your AI workout plan..."):
inputs = tokenizer(prompt, return_tensors="pt", truncation=True)
outputs = model.generate(
**inputs,
max_new_tokens=400,
temperature=0.7,
do_sample=True
)
result = tokenizer.decode(outputs[0], skip_special_tokens=True).strip()
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